3D Character Generation from Images using Convolutional Neural Networks and 3D-Character Factory

Authors

  • Anuj Potdar  Cuddle.ai-Fractal Analytics, Mumbai, Maharashtra, India
  • Mitali Ghotgalkar  Technology Services, Fractal Analytics, Mumbai, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT195523

Keywords:

Convolution Neural Networks, 3D Characters, Factory Pattern for Developing 3D Characters

Abstract

Face recognition using convolutional neural networks can be utilised for constructing 3D characters from a photograph or from a live person. By using convolutional neural networks human attributes like the color of the eyes, skin tone, hair color, presence or absence of facial hair, body type and so on can be identified and provided as a response to a 3D-Character in a game engine like Unity3D using factory pattern approach to make the 3D Character look like the subject.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 5, Issue 5, September-October-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Anuj Potdar, Mitali Ghotgalkar, " 3D Character Generation from Images using Convolutional Neural Networks and 3D-Character Factory , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 5, pp.176-179, September-October-2019. Available at doi : https://doi.org/10.32628/CSEIT195523